Pandas Profiling Report

Dataset statistics

Number of variables	23
Number of observations	3677
Missing cells	6710
Missing cells (%)	7.9%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	2.3 MiB
Average record size in memory	667.8 B

Variable types

Categorical	13
Numeric	10

Alerts

`society` has a high cardinality: 676 distinct values	High cardinality
`sector` has a high cardinality: 113 distinct values	High cardinality
`areaWithType` has a high cardinality: 2355 distinct values	High cardinality
`price` is highly overall correlated with `price_per_sqft` and 6 other fields	High correlation
`price_per_sqft` is highly overall correlated with `price`	High correlation
`area` is highly overall correlated with `price` and 4 other fields	High correlation
`bedRoom` is highly overall correlated with `price` and 5 other fields	High correlation
`bathroom` is highly overall correlated with `price` and 5 other fields	High correlation
`super_built_up_area` is highly overall correlated with `price` and 7 other fields	High correlation
`built_up_area` is highly overall correlated with `super_built_up_area` and 2 other fields	High correlation
`carpet_area` is highly overall correlated with `price` and 5 other fields	High correlation
`property_type` is highly overall correlated with `price` and 2 other fields	High correlation
`facing` is highly overall correlated with `built_up_area`	High correlation
`servant room` is highly overall correlated with `bathroom` and 1 other fields	High correlation
`store room` is highly imbalanced (55.7%)	Imbalance
`facing` has 1045 (28.4%) missing values	Missing
`super_built_up_area` has 1802 (49.0%) missing values	Missing
`built_up_area` has 1987 (54.0%) missing values	Missing
`carpet_area` has 1805 (49.1%) missing values	Missing
`area` is highly skewed (γ1 = 29.73095613)	Skewed
`built_up_area` is highly skewed (γ1 = 40.77881958)	Skewed
`carpet_area` is highly skewed (γ1 = 24.33323909)	Skewed
`floorNum` has 129 (3.5%) zeros	Zeros
`luxury_score` has 462 (12.6%) zeros	Zeros

Reproduction

Analysis started	2023-09-12 16:49:03.943596
Analysis finished	2023-09-12 16:49:25.651791
Duration	21.71 seconds
Software version	pandas-profiling v0.0.dev0
Download configuration	config.json

property_type
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	248.6 KiB

flat	2818
house	859

Length

Max length	5
Median length	4
Mean length	4.2336144
Min length	4

Characters and Unicode

Total characters	15567
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	flat
2nd row	flat
3rd row	flat
4th row	flat
5th row	house

Common Values

Value	Count	Frequency (%)
flat	2818	76.6%
house	859	23.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
flat	2818	76.6%
house	859	23.4%

Most occurring characters

Value	Count	Frequency (%)
f	2818	18.1%
l	2818	18.1%
a	2818	18.1%
t	2818	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15567	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
f	2818	18.1%
l	2818	18.1%
a	2818	18.1%
t	2818	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15567	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
f	2818	18.1%
l	2818	18.1%
a	2818	18.1%
t	2818	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15567	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
f	2818	18.1%
l	2818	18.1%
a	2818	18.1%
t	2818	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

society
Categorical

Distinct	676
Distinct (%)	18.4%
Missing	1
Missing (%)	< 0.1%
Memory size	293.9 KiB

independent	486
tulip violet	75
ss the leaf	73
shapoorji pallonji joyville gurugram	42
dlf new town heights	42
Other values (671)	2958

Length

Max length	49
Median length	39
Mean length	16.869695
Min length	1

Characters and Unicode

Total characters	62013
Distinct characters	41
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	308 ?
Unique (%)	8.4%

Sample

1st row	signature global orchard avenue
2nd row	zara aavaas
3rd row	ats triumph
4th row	experion the heartsong
5th row	unitech deerwood chase

Common Values

Value	Count	Frequency (%)
independent	486	13.2%
tulip violet	75	2.0%
ss the leaf	73	2.0%
shapoorji pallonji joyville gurugram	42	1.1%
dlf new town heights	42	1.1%
signature global park	35	1.0%
shree vardhman victoria	34	0.9%
smart world orchard	32	0.9%
emaar mgf emerald floors premier	32	0.9%
paras dews	31	0.8%
Other values (666)	2794	76.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
independent	491	5.1%
the	350	3.6%
dlf	220	2.3%
park	209	2.2%
city	166	1.7%
emaar	155	1.6%
global	153	1.6%
m3m	152	1.6%
signature	150	1.6%
heights	134	1.4%
Other values (783)	7497	77.5%

Most occurring characters

Value	Count	Frequency (%)
e	6710	10.8%
	6003	9.7%
a	5861	9.5%
r	4171	6.7%
n	4163	6.7%
i	3830	6.2%
t	3719	6.0%
s	3472	5.6%
l	2943	4.7%
o	2755	4.4%
Other values (31)	18386	29.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	55465	89.4%
Space Separator	6003	9.7%
Decimal Number	527	0.8%
Other Punctuation	10	< 0.1%
Dash Punctuation	8	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	6710	12.1%
a	5861	10.6%
r	4171	7.5%
n	4163	7.5%
i	3830	6.9%
t	3719	6.7%
s	3472	6.3%
l	2943	5.3%
o	2755	5.0%
d	2488	4.5%
Other values (16)	15353	27.7%

Decimal Number

Value	Count	Frequency (%)
3	207	39.3%
2	82	15.6%
1	75	14.2%
6	56	10.6%
8	32	6.1%
4	19	3.6%
5	17	3.2%
9	13	2.5%
0	13	2.5%
7	13	2.5%

Other Punctuation

Value	Count	Frequency (%)
,	7	70.0%
/	2	20.0%
.	1	10.0%

Space Separator

Value	Count	Frequency (%)
	6003	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	55465	89.4%
Common	6548	10.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	6710	12.1%
a	5861	10.6%
r	4171	7.5%
n	4163	7.5%
i	3830	6.9%
t	3719	6.7%
s	3472	6.3%
l	2943	5.3%
o	2755	5.0%
d	2488	4.5%
Other values (16)	15353	27.7%

Common

Value	Count	Frequency (%)
	6003	91.7%
3	207	3.2%
2	82	1.3%
1	75	1.1%
6	56	0.9%
8	32	0.5%
4	19	0.3%
5	17	0.3%
9	13	0.2%
0	13	0.2%
Other values (5)	31	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	62013	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	6710	10.8%
	6003	9.7%
a	5861	9.5%
r	4171	6.7%
n	4163	6.7%
i	3830	6.2%
t	3719	6.0%
s	3472	5.6%
l	2943	4.7%
o	2755	4.4%
Other values (31)	18386	29.6%

sector
Categorical

Distinct	113
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Memory size	266.9 KiB

sohna road	154
sector 85	108
sector 102	107
sector 92	100
sector 69	93
Other values (108)	3115

Length

Max length	26
Median length	9
Mean length	9.3209138
Min length	7

Characters and Unicode

Total characters	34273
Distinct characters	31
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	sector 93
2nd row	sector 104
3rd row	sector 104
4th row	sector 108
5th row	sector 50

Common Values

Value	Count	Frequency (%)
sohna road	154	4.2%
sector 85	108	2.9%
sector 102	107	2.9%
sector 92	100	2.7%
sector 69	93	2.5%
sector 90	89	2.4%
sector 65	87	2.4%
sector 81	87	2.4%
sector 109	86	2.3%
sector 79	76	2.1%
Other values (103)	2690	73.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sector	3452	46.8%
road	178	2.4%
sohna	166	2.2%
85	108	1.5%
102	107	1.4%
92	100	1.4%
69	93	1.3%
90	89	1.2%
65	87	1.2%
81	87	1.2%
Other values (106)	2915	39.5%

Most occurring characters

Value	Count	Frequency (%)
o	3807	11.1%
	3705	10.8%
s	3697	10.8%
r	3697	10.8%
e	3542	10.3%
c	3503	10.2%
t	3463	10.1%
1	1076	3.1%
0	804	2.3%
8	780	2.3%
Other values (21)	6199	18.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	23299	68.0%
Decimal Number	7269	21.2%
Space Separator	3705	10.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	3807	16.3%
s	3697	15.9%
r	3697	15.9%
e	3542	15.2%
c	3503	15.0%
t	3463	14.9%
a	699	3.0%
d	249	1.1%
n	221	0.9%
h	203	0.9%
Other values (10)	218	0.9%

Decimal Number

Value	Count	Frequency (%)
1	1076	14.8%
0	804	11.1%
8	780	10.7%
9	764	10.5%
6	742	10.2%
7	684	9.4%
2	676	9.3%
3	666	9.2%
5	593	8.2%
4	484	6.7%

Space Separator

Value	Count	Frequency (%)
	3705	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	23299	68.0%
Common	10974	32.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	3807	16.3%
s	3697	15.9%
r	3697	15.9%
e	3542	15.2%
c	3503	15.0%
t	3463	14.9%
a	699	3.0%
d	249	1.1%
n	221	0.9%
h	203	0.9%
Other values (10)	218	0.9%

Common

Value	Count	Frequency (%)
	3705	33.8%
1	1076	9.8%
0	804	7.3%
8	780	7.1%
9	764	7.0%
6	742	6.8%
7	684	6.2%
2	676	6.2%
3	666	6.1%
5	593	5.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	34273	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	3807	11.1%
	3705	10.8%
s	3697	10.8%
r	3697	10.8%
e	3542	10.3%
c	3503	10.2%
t	3463	10.1%
1	1076	3.1%
0	804	2.3%
8	780	2.3%
Other values (21)	6199	18.1%

price
Real number (ℝ)

Distinct	473
Distinct (%)	12.9%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	2.5336639

Minimum	0.07
Maximum	31.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	0.07
5-th percentile	0.37
Q1	0.95
median	1.52
Q3	2.75
95-th percentile	8.5
Maximum	31.5
Range	31.43
Interquartile range (IQR)	1.8

Descriptive statistics

Standard deviation	2.9806235
Coefficient of variation (CV)	1.1764084
Kurtosis	14.933373
Mean	2.5336639
Median Absolute Deviation (MAD)	0.72
Skewness	3.2791705
Sum	9273.21
Variance	8.8841164
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.25	80	2.2%
1.2	64	1.7%
1.5	64	1.7%
0.9	63	1.7%
1.1	62	1.7%
1.4	60	1.6%
1.3	57	1.6%
2	52	1.4%
0.95	52	1.4%
1.6	48	1.3%
Other values (463)	3058	83.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.07	1	< 0.1%
0.16	1	< 0.1%
0.17	1	< 0.1%
0.19	1	< 0.1%
0.2	8	0.2%
0.21	6	0.2%
0.22	8	0.2%
0.23	1	< 0.1%
0.24	6	0.2%
0.25	11	0.3%

Value	Count	Frequency (%)
31.5	1	< 0.1%
27.5	1	< 0.1%
26	2	0.1%
25	1	< 0.1%
24	1	< 0.1%
23	1	< 0.1%
22	1	< 0.1%
20	3	0.1%
19.5	2	0.1%
19	3	0.1%

price_per_sqft
Real number (ℝ)

Distinct	2651
Distinct (%)	72.4%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	13892.668

Minimum	4
Maximum	600000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	4
5-th percentile	4715.95
Q1	6817.25
median	9020
Q3	13880.5
95-th percentile	33333
Maximum	600000
Range	599996
Interquartile range (IQR)	7063.25

Descriptive statistics

Standard deviation	23210.067
Coefficient of variation (CV)	1.6706702
Kurtosis	186.92801
Mean	13892.668
Median Absolute Deviation (MAD)	2794
Skewness	11.43719
Sum	50847166
Variance	5.3870722 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	27	0.7%
8000	19	0.5%
5000	17	0.5%
12500	14	0.4%
6666	13	0.4%
22222	13	0.4%
11111	13	0.4%
8333	12	0.3%
7500	12	0.3%
6000	11	0.3%
Other values (2641)	3509	95.4%
(Missing)	17	0.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	< 0.1%
5	1	< 0.1%
7	1	< 0.1%
9	1	< 0.1%
53	1	< 0.1%
57	1	< 0.1%
58	2	0.1%
60	1	< 0.1%
61	1	< 0.1%
79	1	< 0.1%

Value	Count	Frequency (%)
600000	1	< 0.1%
400000	1	< 0.1%
315789	1	< 0.1%
308333	1	< 0.1%
290948	1	< 0.1%
283333	1	< 0.1%
266666	1	< 0.1%
261194	1	< 0.1%
245398	1	< 0.1%
241666	1	< 0.1%

area
Real number (ℝ)

HIGH CORRELATION SKEWED

Distinct	1312
Distinct (%)	35.8%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	2888.3311

Minimum	50
Maximum	875000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	50
5-th percentile	518.85
Q1	1232.25
median	1733
Q3	2300
95-th percentile	4246.2
Maximum	875000
Range	874950
Interquartile range (IQR)	1067.75

Descriptive statistics

Standard deviation	23167.506
Coefficient of variation (CV)	8.0210699
Kurtosis	942.02903
Mean	2888.3311
Median Absolute Deviation (MAD)	533
Skewness	29.730956
Sum	10571292
Variance	5.3673333 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1650	54	1.5%
1350	48	1.3%
1800	47	1.3%
1950	43	1.2%
3240	43	1.2%
2700	39	1.1%
900	38	1.0%
2000	33	0.9%
2250	25	0.7%
2400	23	0.6%
Other values (1302)	3267	88.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
50	4	0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	2	0.1%
61	1	< 0.1%
67	2	0.1%
70	1	< 0.1%
72	1	< 0.1%
76	1	< 0.1%

Value	Count	Frequency (%)
875000	1	< 0.1%
642857	1	< 0.1%
620000	1	< 0.1%
566667	1	< 0.1%
215517	1	< 0.1%
98978	1	< 0.1%
82781	1	< 0.1%
65517	2	0.1%
65261	1	< 0.1%
58228	1	< 0.1%

areaWithType
Categorical

Distinct	2355
Distinct (%)	64.0%
Missing	0
Missing (%)	0.0%
Memory size	428.2 KiB

Plot area 360(301.01 sq.m.)	37
Plot area 300(250.84 sq.m.)	26
Plot area 502(419.74 sq.m.)	19
Plot area 200(167.23 sq.m.)	19
Plot area 270(225.75 sq.m.)	17
Other values (2350)	3559

Length

Max length	124
Median length	119
Mean length	54.236062
Min length	12

Characters and Unicode

Total characters	199426
Distinct characters	35
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1849 ?
Unique (%)	50.3%

Sample

1st row	Carpet area: 543.53 (50.5 sq.m.)
2nd row	Super Built up area 569(52.86 sq.m.)
3rd row	Super Built up area 3150(292.64 sq.m.)Carpet area: 1950 sq.ft. (181.16 sq.m.)
4th row	Super Built up area 2003(186.08 sq.m.)Built Up area: 1771.32 sq.ft. (164.56 sq.m.)Carpet area: 1302.01 sq.ft. (120.96 sq.m.)
5th row	Plot area 359(33.35 sq.m.)

Common Values

Value	Count	Frequency (%)
Plot area 360(301.01 sq.m.)	37	1.0%
Plot area 300(250.84 sq.m.)	26	0.7%
Plot area 502(419.74 sq.m.)	19	0.5%
Plot area 200(167.23 sq.m.)	19	0.5%
Plot area 270(225.75 sq.m.)	17	0.5%
Super Built up area 1578(146.6 sq.m.)	17	0.5%
Super Built up area 1950(181.16 sq.m.)Carpet area: 1161 sq.ft. (107.86 sq.m.)	17	0.5%
Super Built up area 1350(125.42 sq.m.)	15	0.4%
Plot area 500(418.06 sq.m.)	14	0.4%
Plot area 150(125.42 sq.m.)	14	0.4%
Other values (2345)	3482	94.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
area	5573	18.5%
sq.m	3655	12.1%
up	3020	10.0%
built	2316	7.7%
super	1875	6.2%
sq.ft	1751	5.8%
sq.m.)carpet	1185	3.9%
sq.m.)built	702	2.3%
carpet	683	2.3%
plot	681	2.3%
Other values (2846)	8700	28.9%

Most occurring characters

Value	Count	Frequency (%)
	26464	13.3%
.	20389	10.2%
a	13154	6.6%
r	9456	4.7%
e	9320	4.7%
1	9205	4.6%
s	7567	3.8%
q	7431	3.7%
t	7324	3.7%
u	6770	3.4%
Other values (25)	82346	41.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	82758	41.5%
Decimal Number	47135	23.6%
Space Separator	26464	13.3%
Other Punctuation	23406	11.7%
Uppercase Letter	8593	4.3%
Close Punctuation	5535	2.8%
Open Punctuation	5535	2.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	13154	15.9%
r	9456	11.4%
e	9320	11.3%
s	7567	9.1%
q	7431	9.0%
t	7324	8.8%
u	6770	8.2%
p	6767	8.2%
m	5544	6.7%
l	3701	4.5%
Other values (5)	5724	6.9%

Decimal Number

Value	Count	Frequency (%)
1	9205	19.5%
0	6628	14.1%
2	5688	12.1%
5	4714	10.0%
3	3960	8.4%
4	3711	7.9%
6	3674	7.8%
7	3254	6.9%
8	3157	6.7%
9	3144	6.7%

Uppercase Letter

Value	Count	Frequency (%)
B	3020	35.1%
S	1875	21.8%
C	1872	21.8%
U	1145	13.3%
P	681	7.9%

Other Punctuation

Value	Count	Frequency (%)
.	20389	87.1%
:	3017	12.9%

Space Separator

Value	Count	Frequency (%)
	26464	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	5535	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	5535	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108075	54.2%
Latin	91351	45.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	13154	14.4%
r	9456	10.4%
e	9320	10.2%
s	7567	8.3%
q	7431	8.1%
t	7324	8.0%
u	6770	7.4%
p	6767	7.4%
m	5544	6.1%
l	3701	4.1%
Other values (10)	14317	15.7%

Common

Value	Count	Frequency (%)
	26464	24.5%
.	20389	18.9%
1	9205	8.5%
0	6628	6.1%
2	5688	5.3%
)	5535	5.1%
(	5535	5.1%
5	4714	4.4%
3	3960	3.7%
4	3711	3.4%
Other values (5)	16246	15.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	199426	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	26464	13.3%
.	20389	10.2%
a	13154	6.6%
r	9456	4.7%
e	9320	4.7%
1	9205	4.6%
s	7567	3.8%
q	7431	3.7%
t	7324	3.7%
u	6770	3.4%
Other values (25)	82346	41.3%

bedRoom
Real number (ℝ)

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.3600761

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.8976289
Coefficient of variation (CV)	0.56475771
Kurtosis	18.212873
Mean	3.3600761
Median Absolute Deviation (MAD)	1
Skewness	3.4851418
Sum	12355
Variance	3.6009954
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1496	40.7%
2	942	25.6%
4	660	17.9%
5	210	5.7%
1	124	3.4%
6	74	2.0%
9	41	1.1%
8	30	0.8%
7	28	0.8%
12	28	0.8%
Other values (9)	44	1.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	124	3.4%
2	942	25.6%
3	1496	40.7%
4	660	17.9%
5	210	5.7%
6	74	2.0%
7	28	0.8%
8	30	0.8%
9	41	1.1%
10	20	0.5%

Value	Count	Frequency (%)
21	1	< 0.1%
20	1	< 0.1%
19	2	0.1%
18	2	0.1%
16	12	0.3%
14	1	< 0.1%
13	4	0.1%
12	28	0.8%
11	1	< 0.1%
10	20	0.5%

bathroom
Real number (ℝ)

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.4245309

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.9480681
Coefficient of variation (CV)	0.56885693
Kurtosis	17.542297
Mean	3.4245309
Median Absolute Deviation (MAD)	1
Skewness	3.2488298
Sum	12592
Variance	3.7949693
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1077	29.3%
2	1047	28.5%
4	820	22.3%
5	294	8.0%
1	156	4.2%
6	117	3.2%
9	41	1.1%
7	40	1.1%
8	25	0.7%
12	22	0.6%
Other values (9)	38	1.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	156	4.2%
2	1047	28.5%
3	1077	29.3%
4	820	22.3%
5	294	8.0%
6	117	3.2%
7	40	1.1%
8	25	0.7%
9	41	1.1%
10	9	0.2%

Value	Count	Frequency (%)
21	1	< 0.1%
20	3	0.1%
18	4	0.1%
17	3	0.1%
16	8	0.2%
14	2	0.1%
13	4	0.1%
12	22	0.6%
11	4	0.1%
10	9	0.2%

balcony
Categorical

Distinct	6
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	238.2 KiB

3+	1172
3	1074
2	884
1	365
No	96

Length

Max length	2
Median length	1
Mean length	1.3448463
Min length	1

Characters and Unicode

Total characters	4945
Distinct characters	7
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	3+
4th row	3
5th row	2

Common Values

Value	Count	Frequency (%)
3+	1172	31.9%
3	1074	29.2%
2	884	24.0%
1	365	9.9%
No	96	2.6%
0	86	2.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	2246	61.1%
2	884	24.0%
1	365	9.9%
no	96	2.6%
0	86	2.3%

Most occurring characters

Value	Count	Frequency (%)
3	2246	45.4%
+	1172	23.7%
2	884	17.9%
1	365	7.4%
N	96	1.9%
o	96	1.9%
0	86	1.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3581	72.4%
Math Symbol	1172	23.7%
Uppercase Letter	96	1.9%
Lowercase Letter	96	1.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	2246	62.7%
2	884	24.7%
1	365	10.2%
0	86	2.4%

Math Symbol

Value	Count	Frequency (%)
+	1172	100.0%

Uppercase Letter

Value	Count	Frequency (%)
N	96	100.0%

Lowercase Letter

Value	Count	Frequency (%)
o	96	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4753	96.1%
Latin	192	3.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	2246	47.3%
+	1172	24.7%
2	884	18.6%
1	365	7.7%
0	86	1.8%

Latin

Value	Count	Frequency (%)
N	96	50.0%
o	96	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4945	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	2246	45.4%
+	1172	23.7%
2	884	17.9%
1	365	7.4%
N	96	1.9%
o	96	1.9%
0	86	1.7%

floorNum
Real number (ℝ)

Distinct	43
Distinct (%)	1.2%
Missing	19
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	6.7982504

Minimum	0
Maximum	51
Zeros	129
Zeros (%)	3.5%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	5
Q3	10
95-th percentile	18
Maximum	51
Range	51
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	6.0124542
Coefficient of variation (CV)	0.884412
Kurtosis	4.5153928
Mean	6.7982504
Median Absolute Deviation (MAD)	3
Skewness	1.6936988
Sum	24868
Variance	36.149606
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
3	498	13.5%
2	493	13.4%
1	351	9.5%
4	316	8.6%
8	195	5.3%
6	183	5.0%
10	179	4.9%
7	176	4.8%
5	169	4.6%
9	161	4.4%
Other values (33)	937	25.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	129	3.5%
1	351	9.5%
2	493	13.4%
3	498	13.5%
4	316	8.6%
5	169	4.6%
6	183	5.0%
7	176	4.8%
8	195	5.3%
9	161	4.4%

Value	Count	Frequency (%)
51	1	< 0.1%
45	1	< 0.1%
44	1	< 0.1%
43	2	0.1%
40	1	< 0.1%
39	2	0.1%
38	1	< 0.1%
35	2	0.1%
34	2	0.1%
33	4	0.1%

facing
Categorical

HIGH CORRELATION MISSING

Distinct	8
Distinct (%)	0.3%
Missing	1045
Missing (%)	28.4%
Memory size	225.5 KiB

East	623
North-East	623
North	387
West	249
South	231
Other values (3)	519

Length

Max length	10
Median length	5
Mean length	6.8381459
Min length	4

Characters and Unicode

Total characters	17998
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	East
2nd row	North-West
3rd row	North-East
4th row	South-East
5th row	East

Common Values

Value	Count	Frequency (%)
East	623	16.9%
North-East	623	16.9%
North	387	10.5%
West	249	6.8%
South	231	6.3%
North-West	193	5.2%
South-East	173	4.7%
South-West	153	4.2%
(Missing)	1045	28.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
east	623	23.7%
north-east	623	23.7%
north	387	14.7%
west	249	9.5%
south	231	8.8%
north-west	193	7.3%
south-east	173	6.6%
south-west	153	5.8%

Most occurring characters

Value	Count	Frequency (%)
t	3774	21.0%
s	2014	11.2%
o	1760	9.8%
h	1760	9.8%
E	1419	7.9%
a	1419	7.9%
N	1203	6.7%
r	1203	6.7%
-	1142	6.3%
W	595	3.3%
Other values (3)	1709	9.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13082	72.7%
Uppercase Letter	3774	21.0%
Dash Punctuation	1142	6.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	3774	28.8%
s	2014	15.4%
o	1760	13.5%
h	1760	13.5%
a	1419	10.8%
r	1203	9.2%
e	595	4.5%
u	557	4.3%

Uppercase Letter

Value	Count	Frequency (%)
E	1419	37.6%
N	1203	31.9%
W	595	15.8%
S	557	14.8%

Dash Punctuation

Value	Count	Frequency (%)
-	1142	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16856	93.7%
Common	1142	6.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	3774	22.4%
s	2014	11.9%
o	1760	10.4%
h	1760	10.4%
E	1419	8.4%
a	1419	8.4%
N	1203	7.1%
r	1203	7.1%
W	595	3.5%
e	595	3.5%
Other values (2)	1114	6.6%

Common

Value	Count	Frequency (%)
-	1142	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17998	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	3774	21.0%
s	2014	11.2%
o	1760	9.8%
h	1760	9.8%
E	1419	7.9%
a	1419	7.9%
N	1203	6.7%
r	1203	6.7%
-	1142	6.3%
W	595	3.3%
Other values (3)	1709	9.5%

agePossession
Categorical

Distinct	6
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	280.2 KiB

Relatively New	1646
New Property	593
Moderately Old	563
Undefined	446
Old Property	303

Length

Max length	18
Median length	14
Mean length	13.043242
Min length	9

Characters and Unicode

Total characters	47960
Distinct characters	25
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	New Property
2nd row	Relatively New
3rd row	Relatively New
4th row	Moderately Old
5th row	Old Property

Common Values

Value	Count	Frequency (%)
Relatively New	1646	44.8%
New Property	593	16.1%
Moderately Old	563	15.3%
Undefined	446	12.1%
Old Property	303	8.2%
Under Construction	126	3.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
new	2239	32.4%
relatively	1646	23.8%
property	896	13.0%
old	866	12.5%
moderately	563	8.1%
undefined	446	6.5%
under	126	1.8%
construction	126	1.8%

Most occurring characters

Value	Count	Frequency (%)
e	8571	17.9%
l	4721	9.8%
t	3357	7.0%
	3231	6.7%
y	3105	6.5%
r	2607	5.4%
d	2447	5.1%
N	2239	4.7%
w	2239	4.7%
i	2218	4.6%
Other values (15)	13225	27.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	37821	78.9%
Uppercase Letter	6908	14.4%
Space Separator	3231	6.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	8571	22.7%
l	4721	12.5%
t	3357	8.9%
y	3105	8.2%
r	2607	6.9%
d	2447	6.5%
w	2239	5.9%
i	2218	5.9%
a	2209	5.8%
o	1711	4.5%
Other values (7)	4636	12.3%

Uppercase Letter

Value	Count	Frequency (%)
N	2239	32.4%
R	1646	23.8%
P	896	13.0%
O	866	12.5%
U	572	8.3%
M	563	8.1%
C	126	1.8%

Space Separator

Value	Count	Frequency (%)
	3231	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	44729	93.3%
Common	3231	6.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	8571	19.2%
l	4721	10.6%
t	3357	7.5%
y	3105	6.9%
r	2607	5.8%
d	2447	5.5%
N	2239	5.0%
w	2239	5.0%
i	2218	5.0%
a	2209	4.9%
Other values (14)	11016	24.6%

Common

Value	Count	Frequency (%)
	3231	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	47960	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	8571	17.9%
l	4721	9.8%
t	3357	7.0%
	3231	6.7%
y	3105	6.5%
r	2607	5.4%
d	2447	5.1%
N	2239	4.7%
w	2239	4.7%
i	2218	4.6%
Other values (15)	13225	27.6%

super_built_up_area
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	593
Distinct (%)	31.6%
Missing	1802
Missing (%)	49.0%
Infinite	0
Infinite (%)	0.0%
Mean	1925.2376

Minimum	89
Maximum	10000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	89
5-th percentile	767
Q1	1479.5
median	1828
Q3	2215
95-th percentile	3185
Maximum	10000
Range	9911
Interquartile range (IQR)	735.5

Descriptive statistics

Standard deviation	764.17218
Coefficient of variation (CV)	0.39692356
Kurtosis	10.349191
Mean	1925.2376
Median Absolute Deviation (MAD)	372
Skewness	1.8364563
Sum	3609820.6
Variance	583959.12
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1950	37	1.0%
1650	37	1.0%
2000	25	0.7%
1578	25	0.7%
1640	22	0.6%
2150	22	0.6%
2408	19	0.5%
1900	19	0.5%
1930	18	0.5%
2812	17	0.5%
Other values (583)	1634	44.4%
(Missing)	1802	49.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
89	1	< 0.1%
145	1	< 0.1%
161	1	< 0.1%
215	1	< 0.1%
216	1	< 0.1%
325	1	< 0.1%
340	1	< 0.1%
352	1	< 0.1%
380	1	< 0.1%
406	1	< 0.1%

Value	Count	Frequency (%)
10000	1	< 0.1%
6926	1	< 0.1%
6000	1	< 0.1%
5800	2	0.1%
5514	1	< 0.1%
5350	2	0.1%
5200	2	0.1%
4890	1	< 0.1%
4857	1	< 0.1%
4848	2	0.1%

built_up_area
Real number (ℝ)

HIGH CORRELATION MISSING SKEWED

Distinct	624
Distinct (%)	36.9%
Missing	1987
Missing (%)	54.0%
Infinite	0
Infinite (%)	0.0%
Mean	1841.9314

Minimum	2
Maximum	737147
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	2
5-th percentile	129.681
Q1	360
median	1256.5
Q3	1900
95-th percentile	3936.5
Maximum	737147
Range	737145
Interquartile range (IQR)	1540

Descriptive statistics

Standard deviation	17945.374
Coefficient of variation (CV)	9.7426943
Kurtosis	1671.8347
Mean	1841.9314
Median Absolute Deviation (MAD)	754.5
Skewness	40.77882
Sum	3112864
Variance	3.2203646 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
360	45	1.2%
300	34	0.9%
1900	34	0.9%
1600	26	0.7%
1300	24	0.7%
2000	24	0.7%
1700	23	0.6%
1800	22	0.6%
200	22	0.6%
900	21	0.6%
Other values (614)	1415	38.5%
(Missing)	1987	54.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	< 0.1%
14	1	< 0.1%
30	1	< 0.1%
33	1	< 0.1%
40	4	0.1%
50	6	0.2%
53	1	< 0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%

Value	Count	Frequency (%)
737147	1	< 0.1%
9500	1	< 0.1%
9000	4	0.1%
8286	1	< 0.1%
8000	1	< 0.1%
7500	2	0.1%
7450	1	< 0.1%
7331	2	0.1%
7000	9	0.2%
6500	1	< 0.1%

carpet_area
Real number (ℝ)

HIGH CORRELATION MISSING SKEWED

Distinct	733
Distinct (%)	39.2%
Missing	1805
Missing (%)	49.1%
Infinite	0
Infinite (%)	0.0%
Mean	2529.1795

Minimum	15
Maximum	607936
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	15
5-th percentile	350
Q1	843
median	1300
Q3	1790
95-th percentile	2950
Maximum	607936
Range	607921
Interquartile range (IQR)	947

Descriptive statistics

Standard deviation	22799.836
Coefficient of variation (CV)	9.0147166
Kurtosis	604.53764
Mean	2529.1795
Median Absolute Deviation (MAD)	472.5
Skewness	24.333239
Sum	4734624
Variance	5.1983254 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1400	42	1.1%
1600	35	1.0%
1800	35	1.0%
1200	31	0.8%
1500	29	0.8%
1650	28	0.8%
1350	27	0.7%
1300	23	0.6%
1000	22	0.6%
1450	22	0.6%
Other values (723)	1578	42.9%
(Missing)	1805	49.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
15	1	< 0.1%
33	1	< 0.1%
48	1	< 0.1%
50	1	< 0.1%
59	1	< 0.1%
60	1	< 0.1%
66	1	< 0.1%
72	1	< 0.1%
76.44	3	0.1%
77.31	1	< 0.1%

Value	Count	Frequency (%)
607936	1	< 0.1%
569243	1	< 0.1%
514396	1	< 0.1%
64529	1	< 0.1%
64412	1	< 0.1%
58141	1	< 0.1%
54917	1	< 0.1%
48811	1	< 0.1%
45966	1	< 0.1%
34401	1	< 0.1%

study room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.0 KiB

0	2972
1	705

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	2972	80.8%
1	705	19.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2972	80.8%
1	705	19.2%

Most occurring characters

Value	Count	Frequency (%)
0	2972	80.8%
1	705	19.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3677	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2972	80.8%
1	705	19.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	3677	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2972	80.8%
1	705	19.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3677	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2972	80.8%
1	705	19.2%

servant room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.0 KiB

0	2349
1	1328

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	2349	63.9%
1	1328	36.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2349	63.9%
1	1328	36.1%

Most occurring characters

Value	Count	Frequency (%)
0	2349	63.9%
1	1328	36.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3677	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2349	63.9%
1	1328	36.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	3677	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2349	63.9%
1	1328	36.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3677	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2349	63.9%
1	1328	36.1%

store room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.0 KiB

0	3339
1	338

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3339	90.8%
1	338	9.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3339	90.8%
1	338	9.2%

Most occurring characters

Value	Count	Frequency (%)
0	3339	90.8%
1	338	9.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3677	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3339	90.8%
1	338	9.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	3677	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3339	90.8%
1	338	9.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3677	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3339	90.8%
1	338	9.2%

pooja room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.0 KiB

0	3021
1	656

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3021	82.2%
1	656	17.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3021	82.2%
1	656	17.8%

Most occurring characters

Value	Count	Frequency (%)
0	3021	82.2%
1	656	17.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3677	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3021	82.2%
1	656	17.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	3677	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3021	82.2%
1	656	17.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3677	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3021	82.2%
1	656	17.8%

others
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.0 KiB

0	3272
1	405

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3272	89.0%
1	405	11.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3272	89.0%
1	405	11.0%

Most occurring characters

Value	Count	Frequency (%)
0	3272	89.0%
1	405	11.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3677	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3272	89.0%
1	405	11.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3677	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3272	89.0%
1	405	11.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3677	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3272	89.0%
1	405	11.0%

furnishing_type
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.0 KiB

0	2404
2	1061
1	212

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
0	2404	65.4%
2	1061	28.9%
1	212	5.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2404	65.4%
2	1061	28.9%
1	212	5.8%

Most occurring characters

Value	Count	Frequency (%)
0	2404	65.4%
2	1061	28.9%
1	212	5.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3677	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2404	65.4%
2	1061	28.9%
1	212	5.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	3677	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2404	65.4%
2	1061	28.9%
1	212	5.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3677	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2404	65.4%
2	1061	28.9%
1	212	5.8%

luxury_score
Real number (ℝ)

Distinct	161
Distinct (%)	4.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	71.512918

Minimum	0
Maximum	174
Zeros	462
Zeros (%)	12.6%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	31
median	59
Q3	110
95-th percentile	174
Maximum	174
Range	174
Interquartile range (IQR)	79

Descriptive statistics

Standard deviation	53.059082
Coefficient of variation (CV)	0.74195102
Kurtosis	-0.88020421
Mean	71.512918
Median Absolute Deviation (MAD)	38
Skewness	0.4590463
Sum	262953
Variance	2815.2662
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	462	12.6%
49	348	9.5%
174	195	5.3%
44	60	1.6%
165	55	1.5%
38	55	1.5%
72	52	1.4%
60	47	1.3%
37	45	1.2%
42	45	1.2%
Other values (151)	2313	62.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	462	12.6%
5	6	0.2%
6	6	0.2%
7	41	1.1%
8	30	0.8%
9	9	0.2%
12	6	0.2%
13	10	0.3%
14	12	0.3%
15	43	1.2%

Value	Count	Frequency (%)
174	195	5.3%
169	1	< 0.1%
168	9	0.2%
167	21	0.6%
166	10	0.3%
165	55	1.5%
161	3	0.1%
160	28	0.8%
159	23	0.6%
158	34	0.9%

Auto

Heatmap
Table

	price	price_per_sqft	area	bedRoom	bathroom	floorNum	super_built_up_area	built_up_area	carpet_area	luxury_score	property_type	balcony	facing	agePossession	study room	servant room	store room	pooja room	others	furnishing_type
price	1.000	0.744	0.744	0.681	0.720	0.001	0.772	-0.001	0.613	0.215	0.543	0.121	0.021	0.102	0.244	0.369	0.303	0.334	0.034	0.175
price_per_sqft	0.744	1.000	0.207	0.417	0.411	-0.126	0.287	-0.401	0.136	0.054	0.201	0.050	0.000	0.046	0.030	0.044	0.000	0.043	0.036	0.022
area	0.744	0.207	1.000	0.624	0.687	0.116	0.948	0.392	0.801	0.259	0.028	0.000	0.022	0.000	0.018	0.015	0.039	0.037	0.042	0.042
bedRoom	0.681	0.417	0.624	1.000	0.862	-0.104	0.800	-0.135	0.569	0.057	0.595	0.160	0.032	0.126	0.154	0.317	0.223	0.291	0.079	0.168
bathroom	0.720	0.411	0.687	0.862	1.000	-0.005	0.819	-0.019	0.599	0.179	0.472	0.201	0.044	0.109	0.176	0.520	0.244	0.286	0.070	0.200
floorNum	0.001	-0.126	0.116	-0.104	-0.005	1.000	0.152	0.349	0.159	0.232	0.485	0.079	0.000	0.122	0.078	0.084	0.112	0.102	0.033	0.022
super_built_up_area	0.772	0.287	0.948	0.800	0.819	0.152	1.000	0.926	0.894	0.222	1.000	0.306	0.000	0.080	0.121	0.584	0.046	0.157	0.084	0.133
built_up_area	-0.001	-0.401	0.392	-0.135	-0.019	0.349	0.926	1.000	0.969	0.263	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.086
carpet_area	0.613	0.136	0.801	0.569	0.599	0.159	0.894	0.969	1.000	0.239	0.000	0.012	0.000	0.000	0.003	0.000	0.000	0.000	0.016	0.000
luxury_score	0.215	0.054	0.259	0.057	0.179	0.232	0.222	0.263	0.239	1.000	0.329	0.208	0.065	0.224	0.183	0.347	0.228	0.189	0.176	0.244
property_type	0.543	0.201	0.028	0.595	0.472	0.485	1.000	0.000	0.000	0.329	1.000	0.338	0.094	0.354	0.128	0.065	0.241	0.252	0.026	0.078
balcony	0.121	0.050	0.000	0.160	0.201	0.079	0.306	0.000	0.012	0.208	0.338	1.000	0.000	0.205	0.182	0.440	0.145	0.196	0.080	0.178
facing	0.021	0.000	0.022	0.032	0.044	0.000	0.000	1.000	0.000	0.065	0.094	0.000	1.000	0.090	0.000	0.036	0.036	0.029	0.000	0.048
agePossession	0.102	0.046	0.000	0.126	0.109	0.122	0.080	0.000	0.000	0.224	0.354	0.205	0.090	1.000	0.111	0.282	0.141	0.184	0.107	0.214
study room	0.244	0.030	0.018	0.154	0.176	0.078	0.121	0.000	0.003	0.183	0.128	0.182	0.000	0.111	1.000	0.185	0.226	0.313	0.031	0.142
servant room	0.369	0.044	0.015	0.317	0.520	0.084	0.584	0.000	0.000	0.347	0.065	0.440	0.036	0.282	0.185	1.000	0.161	0.252	0.000	0.273
store room	0.303	0.000	0.039	0.223	0.244	0.112	0.046	0.000	0.000	0.228	0.241	0.145	0.036	0.141	0.226	0.161	1.000	0.305	0.106	0.157
pooja room	0.334	0.043	0.037	0.291	0.286	0.102	0.157	0.000	0.000	0.189	0.252	0.196	0.029	0.184	0.313	0.252	0.305	1.000	0.033	0.217
others	0.034	0.036	0.042	0.079	0.070	0.033	0.084	0.000	0.016	0.176	0.026	0.080	0.000	0.107	0.031	0.000	0.106	0.033	1.000	0.062
furnishing_type	0.175	0.022	0.042	0.168	0.200	0.022	0.133	0.086	0.000	0.244	0.078	0.178	0.048	0.214	0.142	0.273	0.157	0.217	0.062	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	property_type	society	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	study room	servant room	store room	pooja room	furnishing_type	luxury_score
0	flat	signature global orchard avenue	sector 93	0.40	7359.0	544.0	Carpet area: 543.53 (50.5 sq.m.)	2	2	2	11.0	NaN	New Property	NaN	NaN	543.57695	0	0	0	0	0	37
1	flat	zara aavaas	sector 104	0.40	7029.0	569.0	Super Built up area 569(52.86 sq.m.)	2	2	1	14.0	NaN	Relatively New	569.0	NaN	NaN	0	0	0	0	0	38
2	flat	ats triumph	sector 104	2.55	13076.0	1950.0	Super Built up area 3150(292.64 sq.m.)Carpet area: 1950 sq.ft. (181.16 sq.m.)	4	4	3+	21.0	East	Relatively New	3150.0	NaN	1950.00000	0	1	0	0	0	150
3	flat	experion the heartsong	sector 108	1.65	8237.0	2003.0	Super Built up area 2003(186.08 sq.m.)Built Up area: 1771.32 sq.ft. (164.56 sq.m.)Carpet area: 1302.01 sq.ft. (120.96 sq.m.)	3	4	3	3.0	North-West	Moderately Old	2003.0	1771.32	1302.01000	1	0	0	0	2	75
4	house	unitech deerwood chase	sector 50	8.45	235376.0	359.0	Plot area 359(33.35 sq.m.)	3	3	2	2.0	North-East	Old Property	NaN	359.00	NaN	1	1	0	0	2	102
5	flat	smart world one dxp	sector 113	3.45	13269.0	2600.0	Super Built up area 2600(241.55 sq.m.)	4	4	3	11.0	South-East	Undefined	2600.0	NaN	NaN	1	1	0	0	2	156
6	flat	sobha city	sector 108	1.90	13758.0	1381.0	Super Built up area 1381(128.3 sq.m.)	2	2	2	8.0	East	Relatively New	1381.0	NaN	NaN	0	0	0	0	0	85
7	flat	m3m woodshire	sector 107	0.82	6002.0	1366.0	Super Built up area 1366(126.91 sq.m.)	2	2	3+	7.0	North-East	Relatively New	1366.0	NaN	NaN	0	0	0	0	0	111
8	house	my home	sector 110	0.34	12592.0	270.0	Plot area 270(25.08 sq.m.)	2	2	2	3.0	West	Moderately Old	NaN	270.00	NaN	0	0	0	0	0	22
9	house	independent	sector 31	3.25	22429.0	1449.0	Plot area 161(134.62 sq.m.)	4	4	3+	3.0	NaN	Moderately Old	NaN	161.00	NaN	1	1	1	1	2	29

	property_type	society	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	study room	servant room	store room	pooja room	others	furnishing_type	luxury_score
3792	flat	sbtl caladium	sector 109	1.60	6286.0	2545.0	Super Built up area 2545(236.44 sq.m.)	3	3	3	9.0	North	Relatively New	2545.0	NaN	NaN	0	1	0	0	0	0	75
3793	flat	raheja sampada	sector 92	0.70	4453.0	1572.0	Built Up area: 1572 (146.04 sq.m.)	3	3	0	7.0	NaN	Undefined	NaN	1572.0	NaN	0	0	0	0	0	0	0
3794	house	sushant lok 1 builder floors	sector 43	6.25	30728.0	2034.0	Plot area 226(188.96 sq.m.)	7	7	3+	3.0	North	Moderately Old	NaN	226.0	NaN	1	1	1	0	0	0	46
3796	flat	bptp terra	sector 37d	1.75	7987.0	2191.0	Super Built up area 2191(203.55 sq.m.)Built Up area: 2100 sq.ft. (195.1 sq.m.)Carpet area: 1800 sq.ft. (167.23 sq.m.)	4	4	3	7.0	West	Relatively New	2191.0	2100.0	1800.00	0	0	0	0	1	2	120
3797	flat	greenopolis	sector 89	0.90	4700.0	1915.0	Built Up area: 1910 (177.44 sq.m.)	3	3	0	14.0	NaN	Under Construction	NaN	1910.0	NaN	0	0	0	0	0	0	67
3798	flat	mapsko mount ville	sector 79	1.55	8539.0	1815.0	Super Built up area 1815(168.62 sq.m.)Carpet area: 1071.33 sq.ft. (99.53 sq.m.)	3	4	3	11.0	South-West	Relatively New	1815.0	NaN	1071.33	0	1	0	0	0	2	152
3799	flat	emaar palm gardens	sector 83	1.72	9052.0	1900.0	Super Built up area 1900(176.52 sq.m.)Built Up area: 1600 sq.ft. (148.64 sq.m.)Carpet area: 1240.04 sq.ft. (115.2 sq.m.)	3	3	3	4.0	South	Relatively New	1900.0	1600.0	1240.04	0	1	0	0	0	2	165
3800	house	independent	sector 40	12.00	38986.0	3078.0	Plot area 342(285.96 sq.m.)	16	16	3+	4.0	NaN	New Property	NaN	342.0	NaN	1	1	1	1	0	2	0
3801	flat	baani city center	sector 63	0.88	10945.0	804.0	Built Up area: 804 (74.69 sq.m.)Carpet area: 600 sq.ft. (55.74 sq.m.)	1	1	2	4.0	NaN	Undefined	NaN	804.0	600.00	0	0	0	0	0	0	0
3802	flat	orchid petals	sector 49	4.79	11628.0	4119.0	Super Built up area 4115(382.3 sq.m.)	5	5	3+	14.0	South	Relatively New	4115.0	NaN	NaN	1	1	0	1	0	0	49

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Other Punctuation

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Uppercase Letter

Other Punctuation

Space Separator

Close Punctuation

Open Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Math Symbol

Uppercase Letter

Lowercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin